Papers
5
Total Citations
98
H-Index
4
About
M. Krefft is a leading figure in the field of parallel robotics, whose work has fundamentally advanced the design, control, and dynamic performance of these high-speed mechanisms. His research focuses on unlocking the full potential of parallel kinematic machines (PKMs) for demanding industrial applications, particularly in handling and assembly. Krefft’s major contributions include pioneering autonomous control strategies to push parallel robots to their dynamic limits, as detailed in his most-cited work (50 citations), and developing elastodynamic optimization methods to select optimal mechanism dimensions for superior stiffness and accuracy (28 citations). He has also made significant strides in time-optimal trajectory planning with jerk limitation for adaptive control, and in the fundamental structure and type synthesis of parallel manipulators. By bridging the gap between theoretical dynamics and practical, high-performance automation, Krefft’s research has been instrumental in establishing parallel robots as a viable solution for boosting productivity in modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Elastodynamic optimization of parallel kinematics28 citations · 2005
- 3Structure and Type Synthesis of Parallel Manipulators10 citations · 2010
- 4
- 5Improvement of parallel robots for handling and assembly tasks4 citations · 2007